CC233 Lecture Notes - Lecture 13: Thesis Statement, Univariate Analysis, Multivariate Analysis
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Three different levels: univariate: analysing one variable at a time, bi-variate: analysing two variables at a time, multivariate: analysing three or more variable at a time. Statistical control: adding one or more control variable into the statistical model, building causal model (different types of control variables are antecedent, intervening) Inferential statistics: chi square test, apply to univariate, bi-variate and multi-variate analysis. Generalizing the findings from the sample to target population (external validity) By developing themes, new concepts or abstract theories rather than testing theories (quantitative analysis: concretization and theory building (after data collection, grounded in data (in comparison with quantitative evidence. Building methods: coding, memo writing, analytic induction, theory/concept building. A word or short phrase that symbolically assigns a summative, salient, essence-capturing and/or evocative attribute for a portion of language- based or visual data. Bringing themes to the surface from deep inside the data. I notice that the grand majority of homes have chain link fences in front of them.
